Category: AI

In 2011, the first voice assistant was built for controlling the apps and to run them over apple smartphones. It was termed to be Siri and its performance levels were frequently exceeding thresholds of Tech Innovations.

In the recent developments, the practical application of voice-based assistance has reached to a prolific rate that out of 6 American’s at least one uses smart speakers.

It is expected that around 100 million smartphone users would access to voice-based assistance in 2020.

The current trends for voice-based assistances are equally shared between Amazon and Google competing with each other to build the brand product in the market.

The need for voice interface is kept amongst the high priority whether it may be healthcare or banking sector.

Beyond categorizing voice assistant some of the enterprises deliberately plan for building their own voice technology and integrate to their product for meeting to the demands of customers.

What’s causing the shift towards voice?

The main reason for the shift to the voice user interface is due to the monotonous changes present in user demands.

Today’s millennial consumers are well aware about the multitude levels of comfort zones demonstrated using voice assistance and so at once switch to smart speakers that exhibit speed, efficiency and convenience.

This instantaneous user behavior is also influenced by the presence of IoT devices like smart thermostats, speakers and appliances handled in the everyday lives.

Some of the IT & Technology experts predict that voice technology would be integrated into every applications for maintaining mobility and user convenience.

Given below are some of the key predictions for voice assistance integration over the upcoming years are:

Streamlined Conversations:

Generally, the voice assistance tool earlier required an initial prompter like Alexa, or Ok Google to commence any application upon placing voice commands.

Now the voice-based assistants are better streamlined without the starters efficiently working for people who are engaged in multitasking at specific locations.

These voice integration with their featuring benefits prove that there is a lot happening within Mobile App Developers who are working behind these technologies to make life easier.

Compatibility and Integration:

Initially, it was Amazon that introduced Integrated Voice Technology to users for them to get benefitted from smart speakers.

It was built for establishing an easy connection to a lot of electronic gadgets and soon were becoming a monopoly.

Once Google Assistant Connect came into picture this all started to change from compatibility to integrations the voice assistant could efficiently manage custom built devices to operate specific functions.

Moreover, in 2020 there will be a proliferation of connected devices that would make use of a voice-based assistant to operate from anywhere.

Search behaviours will change:

Voice Searches usually do not require a visual interface for a proof of identity and therefore detecting user personalization is going to be undoubtedly a challenging tasks for voice-based assistants.

It also creates difficulty in open and run specific applications without voice assistant. This proves that search behaviours will feature a bigger change due to the number of users accessing voice assistants.

Now you can run any brands through voice-based commands ensuring only organic searches are fetching results in order to achieve brand visibility.

Individualized Experiences:

The individual experience might get better and excellent through differentiating voices and then establish a connection to respective applications.

Google Assistant Connect provides up to 6 users to share access with clear distinguish ability allowing each user to customize their features securely.

This might be linking of contents like Netflix, Spotify and Google Play commonly for every user and thus create the individualized experiences.

Voice Push Notifications:

Voice Technology works based on distributed push notifications and far more capable in re-engaging users with their earlier used applications. Henceforth, Amazon and Google have started to allow their user base to enable voice notifications from any 3rd party apps and then enjoy the AI convenience of reading out notifications. Generally, these notifications are built for calendar appointments and also for new contents appearing part of core features within an application.

Touch Interaction:

In the recent CES 2019 summit, the report clearly states that both voice and the visual display is about to be merged into one attractive user experience.

This would urge more no of users to access mobile applications through voice-based assistance and then get their work done easily.

Some of the commonly used features in mobile apps are local traffic, calendar and weather information.

Security will be a Focus:

Statistically, about forty-one percent of voice assistant users believe that there should be a revamped privacy and trust built for accessing apps.

Similarly, Google and Amazon mobile conferences focuses a lot towards answering the raising concerns about payment security and sensitive information protection.

The next thing in the near offing is to produce smart speaker ID and verification processes that would offer more security for the users.

Why adopt a Mobile Voice Strategy?

The use of smartphones and user personalization is frequented more often after its purchase, with only smaller screens available to work it becomes imperative for integrating voice based assistant to applications.

The introduction to voice commands for remotes allow users to browse fast and download their favorite movie or shows.

This would become a reality only when a voice-based search is conducted thus serving to a better mobile experiences. It is far and wide clear that brands are beginning to pay a lot of attention towards integrating voice based assistant for surviving in the competition.

Final Words:

The practical application of voice assistants are in demand for a number of industries for it is hugely sophisticated and useful on a daily basis.

Consequently, Voice Assistant manages in creating the ultimate mobile experience for the end-user everlastingly.

In most of the occasions, it is the lack of skill and knowledge within enterprises that largely prevents in adopting to voice-based strategy.

However, there is an ample opportunity present for building a voice-based assistant and to provide conversational experiences for customers.

This article is contributed by  Vignesh,Digital Marketing Executive, Blogger at Way2smile – Mobile App Development Company.

Machine learning has been impacting a vast variety of business sectors in the last couple of years, ranging from finance (with the Fintech boom) to eCommerce and many more.

Energy has also been another big part of what’s known today as the “machine learning revolution”, both from an architectural setup to the execution of risky tasks in the nuclear field, for example.

Machine learning and data science have been a considerably big focus in an industry which still amounts for billions of dollars every year, worldwide. Let’s analyse, therefore, what’s the impact of these technologies on this very sector.

Automation and The AoT

The so-called “Automation of Things” has become quite a big obsession in the warehousing business, after Alibaba made public that, by simply fully automating their whole supply chain in 2018, they were able to increase their productivity by over 70%.

Warehousing principles are applied to the energy sector as well, with dozens of Python-based tools being installed in control rooms to automatically keep control of the entire facility, its power and “metabolism”.

Automation in complex energy facilities such as the nuclear ones is a matter of security as well, given the fact that it decreases the chances of human errors which, in case, would cause major devastation.

The Evolution Of The Matter In The Next Couple Of Years

Machine learning is stated at over $2 billion in value and it’s definitely very likely to increase even more. Just by covering its applications in regards to what is going on for the architectural setup of machine learning and deep learning,

we can safely say that this niche part of the industry will grow both from a technological perspective and, most importantly, from a business one. Energy-related startups, following a Forbes study, have grown by at least 24% in 2018, leading to:

a). More job-related positions on the matter: the figure of the “automation engineer” has, in fact, grown visibly and tangibly in the past couple of years, peaking at over 15% of the entire engineer market, in terms of job positions and availability in terms of resources from companies.

b). More investment influxes in the next couple of years. With examples like Currant and Raptor, who went through millions of dollars in investments (already repaid), it’s safe to confirm how this subject will attract more tech moguls and investors in the nearest future.

How Does Big Data Work With Energy?

If there’s one thing which combines the energy sector and big data, that would definitely be marketing. All the biggest and most successful companies in the sector have been using data in order to properly target their potential customers.

From a marketing perspective, the energy sector basically wants to provide plans which are targeting every potential customer differently. With examples like the recent Cambridge Analytica scandal, although, this very matter has been highly questioned in the recent past.

Luckily, GDPR in Europe has stated some cardinal rules for what concerns data acquisition, especially in regards to big data and data points.

An Example Of An “Automated Power Plant”

It may sound like science fiction, but automated power plants which are working with heavy machine learning tools have become reality in the recent past. Dissecting their workflow, we were able to understand how and which algorithms are doing specific bits:

a). The main architecture is coded in either C++ or Java and represents the “muscles” of the automation process. By telling which specific parts are moving in a power plant, this saves a lot of time in communications and execution.

b). The “brain” of these tools is usually made by a combination of Python and R. Guidelines are given to the Python tool which then processes all the variables via generally R coded algorithms.

This is a very simplified version of an automated control centre in power plants, which escalates to tens of these algorithms in complex architectures such as nuclear power plants, for example.

Will This Be a “Problem” For Us Humans?

Technically, every single time a machine learning-related matter approaches the “mainstream” market, someone comes out saying that “this will be the bane of our jobs”.

Realistically speaking, though, the application of these tools to every single energy-related facility will most likely happen in 2060, therefore there is no reason to panic. Plus, surveillance will still be required to check if everything is properly into place and, most importantly, these tools must be guided and programmed, in the first place.

With this being said, there is absolutely no reason to panic. Power plants and every single energy-related architecture will still require some sort of human guidelines.

The Mobile World: Remote Control For Workers

In a recent study, it has been pointed out that some app developers in the UK have been working on mobile apps which were capable of controlling warehousing and management tasks straight from their smartphones.

In warehousing management, in fact, the usage of remote controls has become quite normal since 2015, therefore there are no reasons why this shouldn’t apply as well to power plant controls or anything else in between, especially if machine learning related, where variables and guidelines are interchangeable anytime.

Connection and Blockchain, An “Almost Tangible” Hypothesis

A big problem between power stations has always been the fact that communications could have been quite slow. Imagine if all the above-mentioned tools could be able to communicate between them instantly by relying on a simplified blockchain-based structure.

This could be quite game-changing and will, if properly set up, save a lot of errors, dangers whilst, at the same time, improving the station’s productivity. The evolution of this very matter will actively set the foundations in regards to the entire technological evolution of blockchain being applied to both warehousing communications and management.

An Overall Picture Of Energy, Machine Learning And AI In 2019

With everything that has been said above, it’s important to understand how the application of machine learning to the energy sector will set the future for other business and supplying sectors in the nearest future.

It’s no secret that robots will dominate the warehousing world in the nearest future and, therefore, it’s important to monitor everything from both a technological and business perspective.

At the minute, this very technology is being put into place and has reached the stability needed for it to become something which could be considered as “an industry-standard”.

To Conclude

Energy as a whole has always been a sector which has embraced new technologies since its very beginning. The “nuclear revolution” has been the first big implementation of new pieces of technology in this sector and machine learning/ML and everything in between will definitely be the second big industrial revolution in this very sector.

With all the examples mentioned above and after a proper analysis of how these tools operate, it’s definitely safe to say that automated features and big data will definitely become extremely big in this sector.

This is definitely an exciting time for every robotics student, data science and architectural technology engineer who’s looking for a career change.

This article is contributed by Alice Porter has experience as an Alexa App Developer and is now a freelance tech writer.

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Artificial intelligence has provided enough room for the development of advanced mobile applications that simplifies our contemporary lifestyle. With more emphasis to heightened functionality and superior user experience, artificial intelligence is undeniably the future engine for most of the smart applications!

AI is the perfect way to build apps that can save a lot of your time and efforts while you are doing stuff like searching for a movie/song or accessing a particular functionality. When we talk about the applications that are already utilizing the potential of AI, the list isn’t small!

The internet is swamped with numerous games and applications that are empowered by artificial intelligence and here is the list of few apps supported by both iOS and Android devices.

Calorie Mama AI

Not sure about the calorie count of the dessert you are about to devour post-supper? Don’t worry; let Calorie Mama reveal the actual nutritive value of those scrumptious delights that you prefer to satisfy your sweet tooth!

Calorie Mama is a smart app that works on artificial intelligence and uses your device’s camera to identify a dish and provide accurate information about its nutrition. One can manage their calorie intake with weekly reports that further helps in maintaining a healthy weight.

FaceApp

For the ones who are always striving to bring a masterpiece out of their pictures, FaceApp is a perfect choice! Developed by Facebook, this smart application uses AI to transform an ordinary image into a stunning picture.

While you are using this application for capturing your photographs, you can eventually alter your hairstyle, facial expressions, and apply exquisite filters that enhance the overall appeal. Thinking about the price of the app? Don’t worry! This app is available free of cost on the official App Store and Google Play store for both iOS and Android devices respectively.

Cortana

Most of the Microsoft Windows users would be familiar with Cortana, a personal assistant developed by Microsoft. The smart assistance is now available for iOS and Android platforms with improved functionality.

Cortana lets the user perform various tasks like synching the phone, transferring files, and playing media with a voice command. Moreover, setting an alarm or reminder has never been as amazing as it is with Cortana. The application utilizes the potential of AI in the most inventive way.

SwiftKey Keyboard

Still struggling with your device’s in-built keyboard that takes too long to type a message without a typo? Why not switch to SwiftKey keyboard? The smart keyboard automatically corrects any flaws in your text resulting in a quick and accurate typing experience.

Apart from the finest typing experience, you get some added advantages. One can change the fonts, text size, color, and theme. The inbuilt emojis makes this keyboard a perfect choice for the ones that believes communication isn’t just limited to texts!

Socratic

Worried about your little one’s mathematics homework? Well, you need not think much about those fuzzy problems anymore and just need to download the Socratic app! This AI-based smart application helps your child in understanding the concepts of mathematics with ease.

The user needs to upload the picture of the problem and the app would provide numerous solutions and smart tricks to understand the concepts better. This app is available for both iOS and Android platforms on official stores.

ELSA Speak

For the ones seeking the perfect online English tutor for improving their pronunciation, ELSA Speak is a perfect choice. This application emphasizes the use of speech recognition technology that makes it easier for the user to learn and adoptthe American accent.

The user can start improving their pronunciation according to their current level, which is perhaps the best feature of this application. Feedback regarding your lip and tongue synch could surely help in refining your skills.

Robin

Sometimes you are too lazy to reply to those overlong messages besides knowing the fact that it shouldn’t be delayed for the eleventh hour! To get over this dilemma, you could consider downloading Robin, which uses AI for writing text with your voice.

You can always get adequate details like traffic status, weather details, and news without even taping on your phone! Yes, you just need to command your smartphone and the same would be executed! One can even make calls by speaking the name of the user.

Recent News

Recent News is yet another smart app that analysis your reading habits and delivers you the preferred news. One can stay updated with the stuff that they are interested in with this popular news application. A user can also sync this app with other devices to bookmark any blog or article that you wish to read on any other device.

It is a must-havean app for the ones that are always searching the relevant content and news to keep them updated without manually searching for the desired content.

Flye

Fyle is one of its kinds of B2B accounting software intended for unproblematic expense management. The user just needs to take pictures of invoices and the app would provide you detailed reports regarding your monthly expenses.

You can easily sync this app with accounting software for better management of personal or organizational expenses. You can get this app on the official stores of your respected mobile platforms.

DataBot

One of the finest virtual assistances based on AI is DataBot that assists you regarding your queries in the most alluring way. You can ask questions based on your interests or regarding the trending stuff over the internet.

Moreover, you can share the answers offered by the app to your social media platforms or via instant messaging applications. Customization of this app according to your language and voice preference along with altered behavior is yet another reason why people admire this personal assistant.

Conclusion

Our smartphones deliver the finest experience by utilizing the perfect combination of hardware and software that work harmoniously. With the advancement of AI in the mobile application, we can expect some of the fascinating applications that could change the way we utilize technology for complementing our existing lifestyle.

The applications mentioned-above clearly showcase the best use of AI as of today for enhancing user experience in all aspects.

This article is contributed by Liza Kosh, senior writer at seasiainfotech-  web and mobile app development company  

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Today life is more convenient and personalized, thanks to the numerous AI applications. Artificial intelligence is considered one of the most promising technology since its advent. AI with machine learning (ML) is helping the different sectors to explore and process large amounts of data. It created the difference with the introduction of hassle-free task processing than ever before. Likewise, Artificial Intelligence in education is helping in overcoming traditional methods and providing perfect services.

The picture of the education sector is constantly changing after the involvement of advanced technologies. These days content is are becoming more accessible through smart devices. Artificial Intelligence is a perfect way to change the way people learn educational materials.

According to Verified Market Research, The Global AI in education market was valued at USD 521.04 Million in 2018 and is likely to range USD 10.38 Billion by 2026. Artificial intelligence and machine learning together are changing the future of education.

AI changing the scenario of the education sector

Artificial Intelligence in education plays an important role in evaluating the behavior of the student in person. With time institutes and schools are recognizing the capabilities of AI. Thus, AI in the educational industry can be helpful for many reasons apart from saving time.

There are applications enabled with AI helping the students to adopt effective and efficient learning habit. The rapid changes and developments in technology are simplifying the administrative tasks in this sector. Artificial Intelligence App in education is making revolutionary changes to the way education is imparted in students.

Education involves teaching skills, learning capability, and varied studying methods. There are several companies in the education sector that are deploying AI to design intelligent solutions for students. Such a solution is helping to provide learning to students from school to college level. Thus, experiencing these solutions can help in overcoming any challenges in the education sector.

The difference created by Artificial Intelligence in different aspects of Education:

The introduction of Artificial Intelligence into education is improving the user’s experience. It offers opportunities for the student of engagement that cannot be found in the fixed environment of the typical four-walled classroom. There are numerous benefits of having AI in education.

Personalized Learning

Artificial Intelligence is more about personalization and offering the suggestion to enhance the experience. The same technology is being utilized to boost the student’s experience while learning. The AI used to know the in-depth of the data so that the students can perform much better. By offering personalized recommendations to students in person can help them to forecast the complex tasks in the classroom.

Apart from that, using AI-powered apps, students can respond and collaborate with their teachers in real time. Meanwhile, teachers can coordinate with students with any kind of guidance.

Smart content

Artificial Intelligence is gradually finding its acceptance in traditional classrooms and institutions. The involvement of AI is thereby helping to be created, customize, and update content in real time. Therefore, AI is considered as efficient to deliver a variety of content of subjects and learning streams. In this way, the involvement of the human is less, which results in fewer mistakes.

Thus, Artificial intelligence could be of great help in every sense. The evolving artificial intelligence capabilities are helpful in creating digital learning content that is relevant to students.

AI and Teachers

The visualization for Artificial Intelligence in education is the best collaboration of teacher and technology. Teachers can learn and educate themselves for the best outcome for students. Thus, by leveraging AI is the best way of the utilization of machines and teachers. Apart from the core teaching role, AI can assist teachers in handling several tasks such as administrative responsibilities and attendance management. However, artificial intelligence can also play the role of motivator, guiding students in order to reshape their future.

Bottom line

The result shows that the academic world is becoming better. This technology is allowing organizations to reduce the time required to complete the difficult tasks involved in education. AI Development Company helps you to develop app which provides personalized recommendations based on viewing content. Therefore, this is helping the students as well as educators to save time.

Artificial intelligence technology is helping in creating better image recognition in a vital way. AI’s ability to recognize images is transforming the business operation while offering a personalized experience.

AI technology is merging with the background processing of versatile businesses while aiming to improve the users interact.

Businesses with technology are trying to understand the user’s pain. This helps them to introduce the solution with the user-friendly features. Image recognition is changing the picture of the market.

Advances in Artificial Intelligence (AI) technology have enabled businesses to come up with solutions that can recognize and describe the scanned content. AI recognizes the content in photos and videos which identifies and describes with the help of image recognition.

Image recognition: Benefits that it can provide to your business.

The advent of AI is a boon in every sense. Likewise, modern smartphones with a camera have led to an exponential increase in the volume of new digital images. Most of the image is shared on the personal, social, and professional networks through apps, websites, social networks, or any other digital channels.

This gave the business reason to leverage this content and use it to deliver better services to the potential customers. Image recognition is changing the pattern of identifying places, people, objects, buildings, business logos, and a variety of other images.

Thus, image recognition is utilized the amounts of visual data people are capturing and sharing. The benefits of image recognition have exponentially increased the dimensions of the businesses.

Image recognition has the ability to show visual results on the basis of the photo or the videos. AI with its advanced version called Computer Vision,

Image recognition is designed to process and analyze visual data such as images and videos in order to show respective results. Image recognition act as the fundamental technology to build strong strategies.

How business can use Image Recognition

The purpose of image recognition technology is to detect and project an object in three-dimensional space. Today image recognition technology is benefitting industries across the board.

Most of the content on the internet is visual. This is helping the businesses to get real-time insights into consumer behavior. The operation related to the user experience can be processed with minimal fuss. Whether it’s big or small size company it is possible to identify or search visuals online with less hassle. It is offering a big advantage to those companies having a digital presence, whether in social media or via an online store.

Online services are now able to go through visual analytics in order to track the activities involved with the business. AI with image recognition is potentially attracting the user brand. There are companies integrating this advance featured technology into their existing business.

A major advantage of this technology is that it can offer brands to promote their product in a more versatile way. This way the businesses can target their potential clients and users. There is more possibility of reaching the customer over the globe.

Visually monitoring the consumer behaviour of your competitors is helpful in knowing the trend of the market. AI image recognition has made a platform for businesses to take their services to the next level. It is can be an innovative method to address market concerns through image recognition enabled campaigns.

Participation of image recognition in major business marketing scenarios

Identifying images

The businesses are trying to recognize the different objects while identifying similar objects in new images. The process of identifying the object through image recognition is hassle-free. Processing and organizing the image collected can help them to stay ahead.

Assembling data

Image recognition is helping the businesses in online services to process the image. This technology allows to interpret the image and identifies the important data in the image. Analyzing this image can assist them to know the market more.

Takeaway

With Artificial Intelligence in image recognition, businesses have more empowered. The businesses get stronger by implementing this unique approach while accessing and analyzing more and more images. Businesses can wisely harness the services enabled with image recognition.

This technology can help startups and enterprises to boost engagement levels with their services. AI with image recognition can help them to extend beyond the standard boundaries, making the user experience more impactful. As a result, it can potentially offer a greater ROI.

This article is contributed by colleen jansen, Business Marketing Specialist Quytech — React native app Development Company

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